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Predicting future learning from baseline network architecture
Marcelo G. Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey K. Aguirre, Scott T. Grafton, Danielle S. Bassett
doi: https://doi.org/10.1101/056861
Marcelo G. Mattar
1Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
Nicholas F. Wymbs
4Human Brain Physiology and Stimulation Laboratory, Department of Physical Medicine and Rehabilitation, Johns Hopkins Medical Institution, Baltimore, MD, USA
Andrew S. Bock
2Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
Geoffrey K. Aguirre
2Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
Scott T. Grafton
5Department of Psychological and Brain Sciences and UCSB Brain Imaging Center, University of California, Santa Barbara, Santa Barbara, CA, USA
Danielle S. Bassett
3Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
6Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA
Article usage
Posted June 03, 2016.
Predicting future learning from baseline network architecture
Marcelo G. Mattar, Nicholas F. Wymbs, Andrew S. Bock, Geoffrey K. Aguirre, Scott T. Grafton, Danielle S. Bassett
bioRxiv 056861; doi: https://doi.org/10.1101/056861
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